Triple
T19644690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HDtracks |
E471642
|
entity |
| Predicate | audioFormat |
P130
|
FINISHED |
| Object | ALAC |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ALAC | Statement: [HDtracks, audioFormat, ALAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALAC Context triple: [HDtracks, audioFormat, ALAC]
-
A.
ALAC
ALAC is the At-Large Advisory Committee within ICANN that represents the interests of individual Internet users in global domain name policy development.
-
B.
ALAC
chosen
ALAC (Apple Lossless Audio Codec) is Apple’s proprietary lossless audio compression format designed to reduce file size without sacrificing sound quality, commonly used in iTunes and Apple devices.
-
C.
FLAC
FLAC (Free Lossless Audio Codec) is an open-source audio compression format that reduces file size without any loss in sound quality, commonly used for high-fidelity music archiving and playback.
-
D.
Monkey's Audio
Monkey's Audio is a lossless audio compression format and codec known for its high compression ratios and Windows-focused software tools.
-
E.
ER-AAC
ER-AAC is an error-resilient variant of the Advanced Audio Coding (AAC) audio compression format designed to provide robust audio transmission over unreliable or lossy channels.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6412452d481908b6946cad3c411d5 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.